How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 10) = 10
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 42 [Kangwon] *
121 [North Korea] *
1 [Chagang] *
9 [North Hamgyong] *
1 [North Hwanghae] *
1 [Ryanggang] *
36 [South Hamgyong] *
9 [South Hwanghae] *
1 [South Pyongan] *
4 [Gold Lane] *
9 [조선민주주의인민공화국] *
1 [Cuisine of Pyongan-do] *
1 [Jongju] *
1 [Photographs of flags of North Korea in Pyonganbuk-to] *
1 [Sakchu] *
1 [Sinuiju] *
1 [Statues in Pyonganbuk-to] *
1 [Uiju] *
1 [Unsan] *
1 [Hyangsan]
)
= 48.01B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 1.17 [Kangwon] *
1 [North Korea] *
1 [Chagang] *
1 [North Hamgyong] *
1 [North Hwanghae] *
1 [Ryanggang] *
1 [South Hamgyong] *
1 [South Hwanghae] *
1 [South Pyongan] *
1 [Gold Lane] *
1 [조선민주주의인민공화국] *
1 [Cuisine of Pyongan-do] *
1 [Jongju] *
1 [Photographs of flags of North Korea in Pyonganbuk-to] *
1 [Sakchu] *
1 [Sinuiju] *
1 [Statues in Pyonganbuk-to] *
1 [Uiju] *
1 [Unsan] *
1 [Hyangsan]
)
= 1.3
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
20
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)North Korea 36.34%Kangwon 12.61%South Hamgyong 10.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)